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keremberke/shoe-classification

Dataset Labels

['converse', 'adidas', 'nike']

Number of Images

{'train': 576, 'test': 83, 'valid': 166}

How to Use

pip install datasets
  • Load the dataset:
from datasets import load_dataset

ds = load_dataset("keremberke/shoe-classification", name="full")
example = ds['train'][0]

Roboflow Dataset Page

https://universe.roboflow.com/popular-benchmarks/nike-adidas-and-converse-shoes-classification/dataset/4

Citation


License

Public Domain

Dataset Summary

This dataset was exported via roboflow.com on October 28, 2022 at 2:38 AM GMT

Roboflow is an end-to-end computer vision platform that helps you

  • collaborate with your team on computer vision projects
  • collect & organize images
  • understand unstructured image data
  • annotate, and create datasets
  • export, train, and deploy computer vision models
  • use active learning to improve your dataset over time

It includes 825 images. Shoes are annotated in folder format.

The following pre-processing was applied to each image:

  • Auto-orientation of pixel data (with EXIF-orientation stripping)

No image augmentation techniques were applied.

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Models trained or fine-tuned on keremberke/shoe-classification